Efficiently identify local frequent keyword co-occurrence patterns in geo-tagged Twitter stream.

Xiaoyang Wang|Ying Zhang|Wenjie Zhang|Xuemin Lin


Anthology ID:DBLP:conf/sigir/WangZZL14
Volume:The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014
Year:2014
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1215-1218
URL:https://doi.org/10.1145/2600428.2609548
DOI:https://doi.org/10.1145/2600428.2609548
DBLP:conf/sigir/WangZZL14
BibTeX:
@inproceedings{wang-2014-efficiently, author = {Xiaoyang Wang and Ying Zhang and Wenjie Zhang and Xuemin Lin}, editor = {Shlomo Geva and Andrew Trotman and Peter Bruza and Charles L. A. Clarke and Kalervo J\"{a}rvelin}, title = {{Efficiently identify local frequent keyword co-occurrence patterns in geo-tagged Twitter stream}}, booktitle = {{The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014}}, pages = {1215--1218}, publisher = {ACM}, year = {2014}, url = {https://doi.org/10.1145/2600428.2609548}, doi = {https://doi.org/10.1145/2600428.2609548} }